Manager, Uptime AI

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    "ShortDescriptionStr": "As the Product Manager of Uptime AI, you will lead the strategic transformation of Ford’s Customer Service Division ecosystem from reactive problem-solving to a proactive, AI-driven pipeline. You will be the primary owner of the Quality Early Warning (QEW) system, leveraging Large Language Models (LLMs) and advanced analytics to detect emerging vehicle concerns in days rather than months. Our mission is to eliminate manual guesswork in quality, empowering teams with precise, automated insights that streamline service and drastically reduce Repair Order (RO) duration and prevent Service Level Agreement (SLA) breaches that lead to vehicle buy-backs (RAV).",
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    "ExternalDescriptionStr": "<p>We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?</p>\n<p>As the Product Manager of Uptime AI, you will lead the strategic transformation of Ford’s Customer Service Division ecosystem from reactive problem-solving to a proactive, AI-driven pipeline. You will be the primary owner of the Quality Early Warning (QEW) system, leveraging Large Language Models (LLMs) and advanced analytics to detect emerging vehicle concerns in days rather than months. <span>Our mission is to eliminate manual guesswork in quality, empowering teams with precise, automated insights that streamline service and&nbsp;</span>drastically reduce Repair Order (RO) duration and prevent Service Level Agreement (SLA) breaches that lead to vehicle buy-backs (RAV).</p>",
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    "ExternalQualificationsStr": "<p>Qualifications You’ll have:<br>•&nbsp;&nbsp;&nbsp;&nbsp;Education: Bachelor's degree in engineering, statistics, or related field of technology.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Analytical Rigor &amp; AI Scalability: Proven ability to utilize data mining and visualization tools to identify patterns and anomalies in unstructured data. You are confident in leveraging, implementing, and scaling artificial intelligence solutions (such as LLMs and predictive models) to move from pilot concepts to enterprise-wide operational tools.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Project Management: Capability of organizing and managing numerous high-stakes projects simultaneously from inception/feasibility through global implementation.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Communication: Solid written and verbal skills to communicate technical results and project status to cross-functional stakeholders.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Overall knowledge of vehicle systems and operations.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Understanding of diagnostics and repair procedures required&nbsp;<br>•&nbsp;&nbsp;&nbsp;&nbsp;Strong interpersonal skills; ability to work with other areas of the company&nbsp;<br>•&nbsp;&nbsp;&nbsp;&nbsp;Able to work independently with minimal supervision&nbsp;<br>•&nbsp;&nbsp;&nbsp;&nbsp;Strong project management skills with the capability of organizing &amp; managing numerous projects simultaneously from inception/feasibility, through implementation<br>Even better if you have:<br>•&nbsp;&nbsp;&nbsp;&nbsp;Experience: 10+ years in the automotive industry, specifically in Quality or Engineering.<br>•&nbsp;&nbsp;&nbsp;&nbsp;AI/ML Familiarity: Experience with Large Language Models (LLMs), clustering, Artificial intelligence or embeddings used to analyze customer data.&nbsp;<br>•&nbsp;&nbsp;&nbsp;&nbsp;Problem Solving: Proficiency in Six Sigma, 8D, 5-Why, or other structured root-cause methodologies.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Mindset: A self-starter who is comfortable being self-directed in a high-volume, fast-paced environment.&nbsp;<br>&nbsp;</p>",
    "InternalQualificationsStr": "<p><strong>You’ll have:</strong></p><p><strong>Minimum</strong></p><ul><li>Bachelor's degree in engineering, statistics, or related field of technology.</li><li>5+plus years of experience</li><li>Analytical Rigor &amp; AI Scalability: Proven ability to utilize data mining and visualization tools to identify patterns and anomalies in unstructured data. You are confident in leveraging, implementing, and scaling artificial intelligence solutions (such as LLMs and predictive models) to move from pilot concepts to enterprise-wide operational tools.</li><li>Project Management: Capability of organizing and managing numerous high-stakes projects simultaneously from inception/feasibility through global implementation.</li><li>Communication: Solid written and verbal skills to communicate technical results and project status to cross-functional stakeholders.</li><li>Overall knowledge of vehicle systems and operations.</li><li>Understanding of diagnostics and repair procedures required&nbsp;</li><li>Strong interpersonal skills; ability to work with other areas of the company&nbsp;</li><li>Able to work independently with minimal supervision&nbsp;</li><li>Strong project management skills with the capability of organizing &amp; managing numerous projects simultaneously from inception/feasibility, through implementation<br><strong>&nbsp;</strong></li></ul><p><strong>Even better if you have:</strong></p><p><strong>Preferred</strong></p><ul><li>Experience: 10+ years in the automotive industry, specifically in Quality or Engineering.</li><li>AI/ML Familiarity: Experience with Large Language Models (LLMs), clustering, Artificial intelligence or embeddings used to analyze customer data.&nbsp;</li><li>Problem Solving: Proficiency in Six Sigma, 8D, 5-Why, or other structured root-cause methodologies.</li><li>Mindset: A self-starter who is comfortable being self-directed in a high-volume, fast-paced environment.&nbsp;</li></ul><p>&nbsp;</p><p>You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!</p><p>As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:<br>• Immediate medical, dental, vision and prescription drug coverage<br>• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more<br>• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more<br>• Vehicle discount program for employees and family members and management leases<br>• Tuition assistance<br>• Established and active employee resource groups<br>• Paid time off for individual and team community service&nbsp;<br>• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day&nbsp;<br>• Paid time off and the option to purchase additional vacation time.&nbsp;<br>&nbsp;</p><p>This position is leadership level 6 and ranges from $115,500-$218,100. &nbsp;&nbsp;<br>&nbsp;</p><p>Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.</p><p>For more information on salary and benefits, click here: <a href=\"https://fordcareers.co/LL6\">https://fordcareers.co/LL6</a>&nbsp;</p><p><strong>Visa sponsorship is not available for this position.</strong></p><p>Candidates for positions with Ford Motor Company must be legally authorized to work in the United States.&nbsp;</p><p>Verification of employment eligibility will be required at the time of hire.</p><p>We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.</p><p>This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.</p><p><strong>#LI-Hybrid</strong><br><strong>#LI-TS3</strong></p>",
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    "ExternalResponsibilitiesStr": "<p>In this position, you will be responsible for:&nbsp;<br>•&nbsp;&nbsp;&nbsp;&nbsp;AI &amp; Data Science Collaboration: Partner with GDIA Data Scientists to extract and analyze multi-source data for early trend detection and root-cause identification. You will continuously refine predictive dashboard models, partner with GDIA Data Scientists to ingest, clean, and synthesize complex, multi-source data streams (including connected vehicle telemetry, warranty claims, and customer feedback), accelerating early trend detection of emerging quality issues, and ensure data integrity by validating AI outputs from a business, quality, and engineering perspective.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Proactive System Leadership: Drive the innovation of quality processes by scaling \"Field Intelligence\" and \"Command Center\" models. Integrate these frameworks with Uptime logic to transform how the organization identifies unknown issues - moving from reactive reporting to real-time, predictive intervention that reduces repair order duration.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Lead Strategic Action Plans: Develop robust business cases and prioritized action plans for top emerging issues (e.g., software deployment failures, hardware defects) to minimize financial impact and warranty exposure.<br>•&nbsp;&nbsp;&nbsp;&nbsp;The FCSD Product Uptime Manager Liaison acts as the ultimate bridge between advanced data science (GDIA), core Product Engineering, Quality, and Service Engineering Operations (SEO). In this role, you will represent FCSD interests across the product lifecycle, leveraging predictive AI and regional Rapid Hubs to identify emerging issues, validate root causes, and rapidly deploy Permanent Corrective Actions (PCAs) to protect the customer experience and reduce warranty exposure.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Proactive Uptime Triage: Utilize statistical analysis and AI-driven \"Service Complexity Predictors\" to identify at-risk repairs. Specifically target and prevent long repair order duration.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Dashboard &amp; KPI Ownership: Develop and maintain high-impact dashboards (Google Looker/Streamlit) to track \"Bowler\" metrics, including RO duration variance and AI prediction accuracy.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Executive Storytelling: Distill complex data patterns and AI signals into concise \"One-Pagers\" for FCSD, Quality, and Engineering leadership, providing clear decision-support on stop-ships, FSAs, and service fixes.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Continuous Improvement: Drive PDCA (Plan-Do-Check-Act) cycles to evaluate the effectiveness of corrective actions on repair speed and first-time fix rates.<br>&nbsp;</p>",
    "InternalResponsibilitiesStr": "<p><strong>What you'll do...</strong></p><ul><li>AI &amp; Data Science Collaboration: Partner with GDIA Data Scientists to extract and analyze multi-source data for early trend detection and root-cause identification. You will continuously refine predictive dashboard models, partner with GDIA Data Scientists to ingest, clean, and synthesize complex, multi-source data streams (including connected vehicle telemetry, warranty claims, and customer feedback), accelerating early trend detection of emerging quality issues, and ensure data integrity by validating AI outputs from a business, quality, and engineering perspective.</li><li>Proactive System Leadership: Drive the innovation of quality processes by scaling \"Field Intelligence\" and \"Command Center\" models. Integrate these frameworks with Uptime logic to transform how the organization identifies unknown issues - moving from reactive reporting to real-time, predictive intervention that reduces repair order duration.</li><li>Lead Strategic Action Plans: Develop robust business cases and prioritized action plans for top emerging issues (e.g., software deployment failures, hardware defects) to minimize financial impact and warranty exposure.</li><li>The FCSD Product Uptime Manager Liaison acts as the ultimate bridge between advanced data science (GDIA), core Product Engineering, Quality, and Service Engineering Operations (SEO). In this role, you will represent FCSD interests across the product lifecycle, leveraging predictive AI and regional Rapid Hubs to identify emerging issues, validate root causes, and rapidly deploy Permanent Corrective Actions (PCAs) to protect the customer experience and reduce warranty exposure.</li><li>Proactive Uptime Triage: Utilize statistical analysis and AI-driven \"Service Complexity Predictors\" to identify at-risk repairs. Specifically target and prevent long repair order duration.</li><li>Dashboard &amp; KPI Ownership: Develop and maintain high-impact dashboards (Google Looker/Streamlit) to track \"Bowler\" metrics, including RO duration variance and AI prediction accuracy.</li><li>Executive Storytelling: Distill complex data patterns and AI signals into concise \"One-Pagers\" for FCSD, Quality, and Engineering leadership, providing clear decision-support on stop-ships, FSAs, and service fixes.<br>Continuous Improvement: Drive PDCA (Plan-Do-Check-Act) cycles to evaluate the effectiveness of corrective actions on repair speed and first-time fix rates.</li></ul>",
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